Senior Data Architect, Legal Operations

Imagine what you could do here. At Apple new ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could you passionate about building data foundations that power intelligent systems and strategic decision-makingnDo you thrive at the intersection of data architecture governance and enterprise transformationnCan you translate complex data challenges into elegant scalable solutionsnnThe Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. Were transforming how legal work gets done and it starts with trusted connected data. The Principal Data Architect leads the Data Management Office (DMO) and owns the data architecture vision that makes AI accurate and analytics reliable.

The Senior Data Architect owns the data architecture vision for Legal Operations and leads the Data Management Office. You will design and implement the semantic layer unified data model and data governance frameworks that make data trusted connected and ready for AI and analytics consumption. This role combines strategic architecture leadership with hands-on technical work and team leadership.

Define and own the enterprise data architecture for Legal Operations including the unified data model semantic layer and integration patternsnDesign and implement entity resolution to create master records for key entities (law firms vendors timekeepers counterparties) across all legal systemsnEstablish common language taxonomy and legal ontology that standardizes terminology across practice groups and systemsnArchitect the data lake and integration layer that connects matter management contracts eBilling document management and other legal systemsnBuild the data foundation that enables AI systems to achieve production-level accuracy and analytics to deliver trusted insights providing the context entity relationships and data quality requirednEstablish data quality standards validation rules and monitoring to ensure data accuracy and completenessnDesign and implement data governance frameworks including data ownership access controls lineage and compliancenPartner with Data Stewards embedded in practice groups to drive data quality and adoption of standardsnLead and mentor the DMO team including Senior Data Engineer and Data AnalystsnSet technical direction and standards for the team; review designs and implementations

Bachelors degree in Computer Science Data Science Information Systems or related field (or equivalent experience); Masters degree preferredn10 years of experience in data architecture data engineering or related fields with at least 4 years in a senior architecture or leadership rolenDeep expertise in enterprise data architecture including data modeling dimensional modeling data lake design and ETL/ELT patternsnStrong experience with cloud data platforms particularly SnowflakenProficiency in SQL and Python for data engineering transformation and automationnExperience with data integration and transformation tools (dbt Fivetran or similar)nExperience designing and implementing entity resolution master data management or data quality solutionsnProven experience leading and mentoring data teamsnExcellent communication skills able to translate data architecture concepts for technical and non-technical audiences

Experience building data architectures for legal tech or legal operations environmentsnFamiliarity with legal systems including matter management CLM eBilling or document management systemsnExperience with semantic layer technologies (dbt Semantic Layer Cube AtScale) knowledge graphs (Neo4j) or ontology designnUnderstanding of how data architecture enables AI/ML systems including RAG embeddings vector databases and context management nExperience with data observability and quality tools (Monte Carlo Great Expectations or similar)nKnowledge of data privacy compliance and governance frameworks relevant to legal data